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This book highlights new and innovative approaches to archaeological research using computational modeling while focusing on the Neolithic transition around the world. The transformative effect of the spread and adoption of agriculture in prehistory cannot be overstated. Consequently, archaeologists have often focused their research on this transition, hoping to understand both the ecological causes and impacts of this shift, as well as the social motivations and constraints involved. Given the complex interplay of socio-ecological factors, the answers to these types of questions cannot be found using traditional archaeological methods alone. Computational modeling techniques have emerged as an effective approach for better understanding prehistoric data sets and the linkages between social and ecological factors at play during periods of subsistence change. Such techniques include agent-based modeling, Bayesian modeling, GIS modeling of the prehistoric environment, and the modeling of small-scale agriculture. As more archaeological data sets aggregate regarding the transition to agriculture, researchers are often left with few ways to relate these sets to one another. Computational modeling techniques such as those described above represent a critical next step in providing archaeological analyses that are important for understanding human prehistory around the world. Given its scope, this book will appeal to the many interdisciplinary scientists and researchers whose work involves archaeology and computational social science. Chapter “The Spread of Agriculture: Quantitative Laws in Prehistory?” is available open access under a Creative Commons Attribution 4.0 International License via springer.com.
Uebergang zur Landwirtschaft - Prähistorie - Wirtschaftsgeschichte.
This book highlights new and innovative approaches to archaeological research using computational modeling while focusing on the Neolithic transition around the world. The transformative effect of the spread and adoption of agriculture in prehistory cannot be overstated. Consequently, archaeologists have often focused their research on this transition, hoping to understand both the ecological causes and impacts of this shift, as well as the social motivations and constraints involved. Given the complex interplay of socio-ecological factors, the answers to these types of questions cannot be found using traditional archaeological methods alone. Computational modeling techniques have emerged as an effective approach for better understanding prehistoric data sets and the linkages between social and ecological factors at play during periods of subsistence change. Such techniques include agent-based modeling, Bayesian modeling, GIS modeling of the prehistoric environment, and the modeling of small-scale agriculture. As more archaeological data sets aggregate regarding the transition to agriculture, researchers are often left with few ways to relate these sets to one another. Computational modeling techniques such as those described above represent a critical next step in providing archaeological analyses that are important for understanding human prehistory around the world. Given its scope, this book will appeal to the many interdisciplinary scientists and researchers whose work involves archaeology and computational social science. Chapter “The Spread of Agriculture: Quantitative Laws in Prehistory?” is available open access under a Creative Commons Attribution 4.0 International License via springer.com.
This book presents a unique selection of fully reviewed, extended papers originally presented at the Social Simulation Conference 2014 in Barcelona, Spain. Only papers on the simulation of historical processes have been selected, the aim being to present theories and methods of computer simulation that can be relevant to understanding the past. Applications range from the Paleolithic and the origins of social life up to the Roman Empire and Early Modern societies. Case studies from Europe, America, Africa and Asia have been selected for publication. The extensive introduction offers a thorough review of the computer simulation of social dynamics in past societies as a means of understanding human history. This book will be of great interest to researchers in the social sciences, archaeology, evolutionary anthropology, and social history.
During virtually the entire four-million-year history of our habitation on this planet, humans have been hunters and gatherers, dependent for nourishment on the availability of wild plants and animals. Beginning about 10,000 years ago, however, the most remarkable phenomenon in the course of human prehistory was set in motion. At locations around the world, over a period of about 5,000 years, hunters became farmers. Far more than the domestication of plant and animal species was involved in this revolution, which was accompanied by massive changes in the structure and organization of the societies that adopted agriculture and by a totally new relationship with the environment. Whereas hunter-gatherers live off the land in an extensive fashion, exploiting a diversity of resources over a broad area, farmers utilize the landscape intensively. The implications of these changes in human activity and social organization reverberate down to the present day.
The twenty-eight contributors to this book show how experimental and ethnographic approaches are being used to shed new light on the process of domestication, and harvesting techniques, tools and technology in the period just before and just after the appearance of agriculture. The book takes an explicitly comparative approach, with chapters on SW Asia, Europe, Australia and Africa.
Addressing one of the most debated revolutions in the history of our species, the change from hunting and gathering to farming, this title takes a global view, and integrates an array of information from archaeology and many other disciplines, including anthropology, botany, climatology, genetics, linguistics, and zoology.
The first book on the origin of clothes shows why climate change was crucial - for the origin of agriculture too.
This innovative volume is the first collective effort by archaeologists and ethnographers to use concepts and models from human behavioral ecology to explore one of the most consequential transitions in human history: the origins of agriculture. Carefully balancing theory and detailed empirical study, and drawing from a series of ethnographic and archaeological case studies from eleven locations—including North and South America, Mesoamerica, Europe, the Near East, Africa, and the Pacific—the contributors to this volume examine the transition from hunting and gathering to farming and herding using a broad set of analytical models and concepts. These include diet breadth, central place foraging, ideal free distribution, discounting, risk sensitivity, population ecology, and costly signaling. An introductory chapter both charts the basics of the theory and notes areas of rapid advance in our understanding of how human subsistence systems evolve. Two concluding chapters by senior archaeologists reflect on the potential for human behavioral ecology to explain domestication and the transition from foraging to farming.
All farming in prehistoric Europe ultimately came from elsewhere in one way or another, unlike the growing numbers of primary centers of domestication and agricultural origins worldwide. This fact affects every aspect of our understanding of the start of farming on the continent because it means that ultimately, domesticated plants and animals came from somewhere else, and from someone else. In an area as vast as Europe, the process by which food production becomes the predominant subsistence strategy is of course highly variable, but in a sense the outcome is the same, and has the potential for addressing more large-scale questions regarding agricultural origins. Therefore, a detailed understanding of all aspects of farming in its absolute earliest form in various regions of Europe can potentially provide a new perspective on the mechanisms by which this monumental change comes to human societies and regions. In this volume, we aim to collect various perspectives regarding the earliest farming from across Europe. Methodological approaches, archaeological cultures, and geographic locations in Europe are variable, but all papers engage with the simple question: What was the earliest farming like? This volume opens a conversation about agriculture just after the transition in order to address the role incoming people, technologies, and adaptations have in secondary adoptions. The book starts with an introduction by the editors which will serve to contextualize the theme of the volume. The broad arguments concerning the process of neolithisation are addressed, and the rationale for the volume discussed. Contributions are ordered geographically and chronologically, given the progression of the Neolithic across Europe. The editors conclude the volume with a short commentary paper regarding the theme of the volume.